Answer:
The standard error( X1 − X2 ) = 0.547
Explanation:
Step:-(1)
Given a procurement specialist has purchased 23 resistors
Given normally and independently distributed with mean 120 ohms and standard deviation 1.7
mean of the Population of the vendor 1 is μ₁ = 120 ohms
Standard deviation of the Population the vendor 1 is σ₁ = 1.7 ohms
similarly represent the vendor 2 observed resistances, which are assumed to be normally and independently distributed with mean 125 ohms and standard deviation of 2.0
mean of the Population of the vendor 2 is μ₂ = 120 ohms
Standard deviation of the Population the vendor 2 is σ₂ = 1.7 ohms
The standard error of the difference of two means
Se( X1 − X2) =
![\sqrt{(σ^2_(1) )/(n_(1) ) +(σ^2_(2) )/(n_(1) ) }](https://img.qammunity.org/2021/formulas/mathematics/college/j1cm6n6bi94sgdjqmmjy7stay0j47hwzbc.png)
Here σ₁ = 1.7 ohms and σ₂ = 2 ohms and n₁=n₂ =n = 23 resistors
se(X1 − X2) =
![\sqrt{(1.7^2)/(23 ) +(2^2 )/(23) }](https://img.qammunity.org/2021/formulas/mathematics/college/274xbqk3zfsm81pjmgsnrz7ci7ve6mc89i.png)
se(X1 − X2) = √0.2995
= 0.547
Conclusion:-
The standard error of X1 − X2 = 0.547